↓ Skip to main content

Accessibility of long-term family planning methods: a comparison study between Output Based Approach (OBA) clients verses non-OBA clients in the voucher supported facilities in Kenya

Overview of attention for article published in BMC Health Services Research, March 2017
Altmetric Badge

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
83 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Accessibility of long-term family planning methods: a comparison study between Output Based Approach (OBA) clients verses non-OBA clients in the voucher supported facilities in Kenya
Published in
BMC Health Services Research, March 2017
DOI 10.1186/s12913-017-2164-9
Pubmed ID
Authors

Boniface Oyugi, Urbanus Kioko, Stephen Mbugua Kaboro, Shadrack Gikonyo, Clarice Okumu, Sarah Ogola-Munene, Shaminder Kalsi, Simon Thiani, Julius Korir, Paul Odundo, Billy Baltazaar, Moses Ranji, Nicholas Muraguri, Charles Nzioka

Abstract

The study seeks to evaluate the difference in access of long-term family planning (LTFP) methods among the output based approach (OBA) and non-OBA clients within the OBA facility. The study utilises a quasi experimental design. A two tailed unpaired t-test with unequal variance is used to test for the significance variation in the mean access. The difference in difference (DiD) estimates of program effect on long term family planning methods is done to estimate the causal effect by exploiting the group level difference on two or more dimensions. The study also uses a linear regression model to evaluate the predictors of choice of long-term family planning methods. Data was analysed using SPSS version 17. All the methods (Bilateral tubal ligation-BTL, Vasectomy, intrauterine contraceptive device -IUCD, Implants, and Total or combined long-term family planning methods -LTFP) showed a statistical significant difference in the mean utilization between OBA versus non-OBA clients. The difference in difference estimates reveal that the difference in access between OBA and non OBA clients can significantly be attributed to the implementation of the OBA program for intrauterine contraceptive device (p = 0.002), Implants (p = 0.004), and total or combined long-term family planning methods (p = 0.001). The county of residence is a significant determinant of access to all long-term family planning methods except vasectomy and the year of registration is a significant determinant of access especially for implants and total or combined long-term family planning methods. The management level and facility type does not play a role in determining the type of long-term family planning method preferred; however, non-governmental organisations (NGOs) as management level influences the choice of all methods (Bilateral tubal ligation, intrauterine contraceptive device, Implants, and combined methods) except vasectomy. The adjusted R(2) value, representing the percentage of the variance explained by various models, is larger than 18% for implants and total or combined long-term family planning. The study showed that the voucher services in Kenya has been effective in providing long-term family planning services and improving access of care provided to women of reproductive age. Therefore, voucher scheme can be used as a tool for bridging the gap of unmet needs of family planning in Kenya and could potentially be more effective if rolled out to other counties.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Researcher 11 13%
Student > Bachelor 8 10%
Student > Ph. D. Student 5 6%
Other 3 4%
Other 7 8%
Unknown 36 43%
Readers by discipline Count As %
Medicine and Dentistry 16 19%
Social Sciences 10 12%
Nursing and Health Professions 9 11%
Agricultural and Biological Sciences 4 5%
Environmental Science 1 1%
Other 7 8%
Unknown 36 43%